mirror of
https://github.com/open-mmlab/mmsegmentation.git
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725d5aa002
* dice loss * format code, add docstring and calculate denominator without valid_mask * minor change * restore * add metafile * add manifest.in and add config at setup.py * add requirements * modify manifest * modify manifest * Update MANIFEST.in * add metafile * add metadata * fix typo * Update metafile.yml * Update metafile.yml * minor change * Update metafile.yml * add subfix * fix mmshow * add more metafile * add config to model_zoo * fix bug * Update mminstall.txt * [fix] Add models * [Fix] Add collections * [fix] Modify collection name * [Fix] Set datasets to unet metafile * [Fix] Modify collection names * complement inference time
57 lines
2.0 KiB
YAML
57 lines
2.0 KiB
YAML
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Models:
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- Name: fcn_r101-d8_512x1024_80k_fp16_cityscapes
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In Collection: FCN
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Metadata:
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inference time (fps): 8.64
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 76.80
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/fp16/fcn_r101-d8_512x1024_80k_fp16_cityscapes/fcn_r101-d8_512x1024_80k_fp16_cityscapes-50245227.pth
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Config: configs/fcn/fcn_r101-d8_512x1024_80k_fp16_cityscapes.py
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- Name: pspnet_r101-d8_512x1024_80k_fp16_cityscapes
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In Collection: PSPNet
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Metadata:
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inference time (fps): 8.77
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.46
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/fp16/pspnet_r101-d8_512x1024_80k_fp16_cityscapes/pspnet_r101-d8_512x1024_80k_fp16_cityscapes-ade37931.pth
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Config: configs/pspnet/pspnet_r101-d8_512x1024_80k_fp16_cityscapes.py
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- Name: deeplabv3_r101-d8_512x1024_80k_fp16_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 3.86
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 80.48
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/fp16/deeplabv3_r101-d8_512x1024_80k_fp16_cityscapes/deeplabv3_r101-d8_512x1024_80k_fp16_cityscapes-bc86dc84.pth
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Config: configs/deeplabv3/deeplabv3_r101-d8_512x1024_80k_fp16_cityscapes.py
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- Name: deeplabv3plus_r101-d8_512x1024_80k_fp16_cityscapes
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In Collection: DeepLabV3+
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Metadata:
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inference time (fps): 7.87
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 80.46
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/fp16/deeplabv3plus_r101-d8_512x1024_80k_fp16_cityscapes/deeplabv3plus_r101-d8_512x1024_80k_fp16_cityscapes-cc58bc8d.pth
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Config: configs/deeplabv3+/deeplabv3plus_r101-d8_512x1024_80k_fp16_cityscapes.py
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